Python bindings for vla.cpp over its C ABI (include/vla.h). No PyTorch at inference time.

import vla_cpp

model = vla_cpp.load("smolvla-libero.gguf")
actions = model.predict(frame_hwc_uint8, tokens=[1, 100, 200, 2])

predict returns [rows, max_action_dim]; only the first model.config.real_action_dim columns carry values. model.config.denormalized says whether they are already in world units.

Wheels bundle libvla.so. From a source checkout, build it and point at it:

cmake -B build -DCMAKE_BUILD_TYPE=Release
cmake --build build -j"$(nproc)" --target vla
VLA_LIBRARY=build/libvla.so LD_LIBRARY_PATH=build:build/bin python your_script.py

LD_LIBRARY_PATH is needed because libvla.so links libvla_core.so and the ggml libraries from the same build tree.

Output is bit-identical to vla-cli on the same inputs.